






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__   :      Any				=		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   :      Optional[Any]				=		{
    """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json""",
    """google/bigbird-roberta-large""": """https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json""",
    """google/bigbird-base-trivia-itc""": """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json""",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}
class     lowerCamelCase_					(   lowerCamelCase			):
				a__       							=	'''big_bird'''







				def __init__(    self							,       __lowerCAmelCase=5_0_3_5_8							,       __lowerCAmelCase=7_6_8							,       __lowerCAmelCase=1_2							,       __lowerCAmelCase=1_2							,       __lowerCAmelCase=3_0_7_2							,       __lowerCAmelCase="gelu_new"							,       __lowerCAmelCase=0.1							,       __lowerCAmelCase=0.1							,       __lowerCAmelCase=4_0_9_6							,       __lowerCAmelCase=2							,       __lowerCAmelCase=0.02							,       __lowerCAmelCase=1E-12							,       __lowerCAmelCase=True							,       __lowerCAmelCase=0							,       __lowerCAmelCase=1							,       __lowerCAmelCase=2							,       __lowerCAmelCase=6_6							,       __lowerCAmelCase="block_sparse"							,       __lowerCAmelCase=True							,       __lowerCAmelCase=False							,       __lowerCAmelCase=6_4							,       __lowerCAmelCase=3							,       __lowerCAmelCase=None							,       **__lowerCAmelCase							,       ):
								"""simple docstring"""
								super().__init__(
								    pad_token_id=__lowerCAmelCase							,       bos_token_id=__lowerCAmelCase							,       eos_token_id=__lowerCAmelCase							,       sep_token_id=__lowerCAmelCase							,       **__lowerCAmelCase							,       )

								__magic_name__		:Union[str, Any]   =   vocab_size
								__magic_name__		:List[str]   =   max_position_embeddings
								__magic_name__		:Dict   =   hidden_size
								__magic_name__		:Union[str, Any]   =   num_hidden_layers
								__magic_name__		:str   =   num_attention_heads
								__magic_name__		:Any   =   intermediate_size
								__magic_name__		:List[Any]   =   hidden_act
								__magic_name__		:Any   =   hidden_dropout_prob
								__magic_name__		:str   =   attention_probs_dropout_prob
								__magic_name__		:Union[str, Any]   =   initializer_range
								__magic_name__		:Optional[int]   =   type_vocab_size
								__magic_name__		:Optional[Any]   =   layer_norm_eps
								__magic_name__		:List[str]   =   use_cache

								__magic_name__		:Optional[Any]   =   rescale_embeddings
								__magic_name__		:Optional[Any]   =   attention_type
								__magic_name__		:Optional[Any]   =   use_bias
								__magic_name__		:Optional[int]   =   block_size
								__magic_name__		:List[Any]   =   num_random_blocks
								__magic_name__		:List[str]   =   classifier_dropout







class     lowerCamelCase_					(   lowerCamelCase			):







				@property
				def       A						(    self  ):
								"""simple docstring"""
								if self.task == "multiple-choice":
												__magic_name__		:int   =   {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
								else:
												__magic_name__		:Dict   =   {0: '''batch''', 1: '''sequence'''}
								return OrderedDict(
								    [
								        ('''input_ids''', dynamic_axis),
								        ('''attention_mask''', dynamic_axis),
								    ]  )







from __future__ import annotations

from collections import Counter
from random import random




class 					_UpperCAmelCase			:



 '''simple docstring'''




 def __init__(		self				:   List[str])						->	Any:


   """simple docstring"""







   _UpperCamelCase           =    {}







 def 		__UpperCAmelCase				(		self				:   Optional[Any]							, lowercase_				:   str)						->	None:


   """simple docstring"""







   _UpperCamelCase           =    {}







 def 		__UpperCAmelCase				(		self				:   List[str]							, lowercase_				:   str							, lowercase_				:   str							, lowercase_				:   float)						->	None:


   """simple docstring"""







   if nodea not in self.connections:
     self.add_node(lowercase_)
   if nodea not in self.connections:
     self.add_node(lowercase_)
   _UpperCamelCase           =    probability







 def 		__UpperCAmelCase				(		self				:   Any)						->	list[str]:


   """simple docstring"""







   return list(self.connections)







 def 		__UpperCAmelCase				(		self				:   Tuple							, lowercase_				:   str)						->	str:


   """simple docstring"""







   _UpperCamelCase           =    0
   _UpperCamelCase           =    random()

   for dest in self.connections[node]:
     current_probability += self.connections[node][dest]
     if current_probability > random_value:
       return dest
   return ""


def 				lowerCAmelCase__       (			a__    ,     a__    ,     a__ )      ->dict[str, int]:




  '''simple docstring'''

  _UpperCamelCase           =    MarkovChainGraphUndirectedUnweighted()

  for nodea, nodea, probability in transitions:
    graph.add_transition_probability(a__    ,     a__    ,     a__ )

  _UpperCamelCase           =    Counter(graph.get_nodes() )
  _UpperCamelCase           =    start

  for _ in range(a__ ):
    _UpperCamelCase           =    graph.transition(a__ )
    visited[node] += 1

  return visited


if __name__ == "__main__":
   import doctest

   doctest.testmod()




